AuraAI Chatbot

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AuraAI Assistant

Hello! I am AuraAI. How can I help you today?

\n \n \n

\n\n \n \n \n `;\n return new Response(html, { headers: { \"Content-Type\": \"text/html; charset=utf-8\" } });\n }\n\n // 2. BACKEND: Sends your messages directly to the Velona AI system\n try {\n const body = await req.json();\n const userMessage = body.message;\n \n // 👇 PASTE YOUR API KEY INSIDE THESE QUOTES 👇\n const VELONA_KEY = \"key_experimental_20260915_e95ce90289a48c18cc790067e8a691ae\";\n\n if (VELONA_KEY === \"PASTE_YOUR_ACTUAL_VELONA_API_KEY_HERE\" || !VELONA_KEY) {\n return Response.json({ reply: \"Error: Please replace 'PASTE_YOUR_ACTUAL_VELONA_API_KEY_HERE' in the code with your real API key.\" });\n }\n\n if (!userMessage) {\n return Response.json({ error: \"No message provided\" }, { status: 400 });\n }\n\n // Call Velona's AI interface\n const velonaResponse = await fetch(\"https://velona.in\", {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${VELONA_KEY}`,\n \"Content-Type\": \"application/json\"\n },\n body: JSON.stringify({\n model: \"meta-llama/llama-3-70b-instruct\",\n messages: [{ role: \"user\", content: userMessage }]\n })\n });\n\n const aiData = await velonaResponse.json();\n const botReply = aiData.choices?.[0]?.message?.content || \"Could not generate content.\";\n\n return Response.json({ reply: botReply });\n\n } catch (error) {\n return Response.json({ reply: \"System runtime processing error.\" }, { status: 500 });\n }\n}","export default async function (req: Request) {\n // 1. FRONTEND: Shows the visual chat box when you open the link in your browser\n if (req.method === \"GET\") {\n const html = `\n \n \n \n \n \n AuraAI Chatbot\n \n \n \n

AuraAI Assistant

Hello! I am AuraAI. How can I help you today?

\n \n \n

\n\n \n \n \n `;\n return new Response(html, {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n // 2. BACKEND: Sends your messages directly to the Velona AI system\n try {\n const body = await req.json();\n const userMessage = body.message;\n\n // 👇 PLACE YOUR REAL VELONA API KEY DIRECTLY INSIDE THESE QUOTES 👇\n const VELONA_KEY =\n \"key_experimental_20260915_e95ce90289a48c18cc790067e8a691ae\";\n\n if (VELONA_KEY === \"PASTE_YOUR_ACTUAL_VELONA_API_KEY_HERE\" || !VELONA_KEY) {\n return Response.json({\n reply:\n \"Configuration error: You need to replace 'PASTE_YOUR_ACTUAL_VELONA_API_KEY_HERE' in the script with your real Velona key.\",\n });\n }\n\n if (!userMessage) {\n return Response.json({ error: \"No message provided\" }, { status: 400 });\n }\n\n // Connects to the OpenAI-compatible endpoint surface provided by Velona\n const velonaResponse = await fetch(\n \"https://velona.in/v1/chat/completions\",\n {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer \\${VELONA_KEY}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"meta-llama/llama-3-70b-instruct\",\n messages: [{ role: \"user\", content: userMessage }],\n }),\n },\n );\n\n const aiData = await velonaResponse.json();\n\n // Completely error-proof response tracking\n let botReply = \"\";\n if (aiData.choices && aiData.choices[0] && aiData.choices[0].message) {\n botReply = aiData.choices[0].message.content;\n } else if (aiData.reply) {\n botReply = aiData.reply;\n } else {\n botReply = \"Error from API: \" +\n (aiData.error?.message || JSON.stringify(aiData));\n }\n\n return Response.json({ reply: botReply });\n } catch (error) {\n return Response.json({\n reply: \"System runtime processing error: \" + error.message,\n }, { status: 500 });\n 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